1 to 25 of 64 Contract Databricks Jobs in the UK

solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model ...

project safety, quality, time, and cost management. Key Responsibilities: Translate business requirements and designs into technical solutions. Develop, test, and deploy data products using Databricks, Power BI, SQL, Python, Scala, and other technologies. Build, optimize, and maintain ETL/ELT pipelines and data flows for batch and streaming processes. Document ...

Collaborate with stakeholders and technical teams to translate business needs into data solutions Azure Data Engineer requirements: Hands-on experience with Azure Data Factory, Databricks, and SQL-based databases Strong understanding of data engineering principles, including ELT and data modelling Experience working with CI/CD pipelines, automation, and testing ...

best practices - Lead cloud migration and modernization initiatives Cloud & Technology Leadership: - AWS: EC2, S3, RDS, Lambda, EKS, Elastic Beanstalk, IAM, Neptune - Azure: Data Factory, Databricks, Synapse, Data Lake, Event Hub, AKS, Power BI - Microservices and APIs using Java/Spring Boot - CI/CD using GitLab, Azure DevOps, Kubernetes, Helm ...

Fabric and Databricks Data Engineer - Outside IR35 - Hybrid Role OverviewWe're looking for a skilled Fabric & Databricks Engineer to design, build, and maintain scalable analytics and data engineering solutions. You'll work at the core of our data platform, enabling analytics, reporting, and advanced data use cases by leveraging Microsoft … deliver reliable, performant, and secure data pipelines and models. Key Responsibilities Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric and Databricks Build and optimize Lakehouse architectures using Delta Lake principles Ingest, transform, and curate data from multiple sources (APIs, databases, files, streaming) Develop scalable data transformations ...

Databricks Engineer - £400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics … data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricks ...

data engineering skills with technical leadership, mentoring a small team while remaining deeply involved in delivery. Key Skills & Experience: Microsoft Azure data platforms Azure Databricks , SQL & data modelling Power BI for analytics and reporting Terraform/Infrastructure as Code CI/CD with GitHub Actions Experience leading or mentoring data ...

continuously improve your skills and knowledge. Profile The Data Engineer will have mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving ...

Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric, AWS Lakeformation, Databricks or Snowflake. Experience automating operations tasks with one or more scripting languages. Due to the nature of the project and the short turnaround required ...

Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model monitoring deployment pipelines Exposure to tools such as Databricks MLflow feature stores Experience working in Agile product-led delivery environments Understanding of data governance ethics model explainability Relevant professional certifications relating to cloud data platforms ...

products. Competent in applying statistical and analytical techniques to answer research questions and support recommendations. Skilled in developing code for ad hoc analysis (Excel, Databricks, SQL, Python). Ability to translate between technical and non-technical stakeholders. Knowledge of testing techniques to ensure requirements are fully met. Understanding of data ...

operations, cash accounting, or stock finance A more technical, hands-on mindset rather than a purely stakeholder-facing profile Python experience (nice to have) Databricks experience (nice to have) Experience working in a retail environment (nice to have) HOW TO APPLY: Please register your interest by sending your ...

data lineage from raw to curated layers. Platform Knowledge Hands-on familiarity with modern data platforms and tooling, including Snowflake, Databricks, Azure, and ingestion tools such as Azure Data Factory. AI Familiarity Experience using, or a strong desire to learn, Generative AI tools for code analysis, logic interpretation, and automated ...

experience in a Head of Data , Data Director , or similar leadership role. Strong background in data engineering, architecture, and analytics . Expertise in Azure , Databricks , and Snowflake (experience with GCP or AWS is a bonus). Familiarity with modern data stack and best practices for data governance. Excellent stakeholder management ...

experience in a Head of Data , Data Director , or similar leadership role. Strong background in data engineering, architecture, and analytics . Expertise in Azure , Databricks , and Snowflake (experience with GCP or AWS is a bonus). Familiarity with modern data stack and best practices for data governance. Excellent stakeholder management ...

data modelling Experience working in a fast-paced, delivery-focused BI environment Comfortable engaging stakeholders to clarify requirements Nice to have: Python/Databricks Retail or consumer-facing experience ...

globally distributed engineers, with Product Managers and BAs based onsite Tech environment TypeScript/Node.js Microsoft Azure (APIs, cloud-native services, containers/functions) Databricks (data modelling, optimisation, analytics) CI/CD and DevOps best practices What they're looking for Proven experience as a Senior Engineer or Technical Lead ...

audiences. Additional Skills & Qualifications Adobe certifications such as AEP Architect, RTCDP, Campaign, AJO, AEM Assets. Experience with Offer Decisioning/RTCDP B2B, Snowflake/Databricks, and paid media destination ecosystems. Prior work Experience in high scale B2C/B2B2C environments such as media, telco, retail, and financial services. Why Work ...

Nice to have: Exposure to Microsoft Dynamics migrations. Experience with Power Platform/Power Pages (PP). Familiarity with other Azure data services (e.g., Databricks, Azure SQL, Synapse). If you're interested in this role, click 'apply now' to forward an up-to-date copy of your ...

with excellent Excel and presentation skills Experience in writing user stories, product backlog increments, and acceptance criteria for agile projects Familiarity with Azure and Databricks platforms considered an advantage Prior experience working on data warehouse project, syndicate structures, finance, or actuarial areas Ability to communicate complex data concepts clearly ...

migrated data. What We're Looking For Technical Skills Strong SQL and ability to navigate complex data lineages. Familiarity with modern data platforms (Snowflake, Databricks, Azure) and ingestion tools (ADF and similar). Interest or experience with Generative AI tools for code analysis and documentation. Soft Skills Skilled in workshop ...

requires one day per week onsite. As a Data Architect you will be responsible for the following: Design & build high performing data solutions utilising Databricks Design & oversee delivery of secure data warehouses and datalakes Design & implement AI/ML Models Ensure data governance and security is managed Work with existing ...

acquisition, transformation, and data quality validation Data presentation and reporting Experience with Tableau or other BI/visualisation tools Hands-on experience with AWS, Databricks or SQL Server Experience & Capabilities 5-7 years' experience as a QA/Test Analyst in financial services Strong experience testing investment management data Solid ...

platforms, integration technologies, and advanced analytics, including AI/ML. Key Responsibilities Data Platform Management Design and implement solutions using Microsoft Fabric, Snowflake, CosmoDB, Databricks, MongoDB, and traditional RDBMS systems Data Replication & CDC Configure and manage Qlik Replicate and Oracle GoldenGate for real-time data synchronization Data Modeling Develop conceptual … Drive adoption of Machine Learning, Generative AI, and Agentic AI in enterprise data strategies Required Skills & Qualifications Strong experience with data platforms (Fabric, Snowflake, Databricks, MongoDB, RDBMS) Hands-on expertise in data replication tools (Qlik Replicate, Oracle GoldenGate) Proficiency in data modeling and integration architectures Knowledge of API design, data ...

RESPONSIBILITIES Design, build, and maintain scalable data pipelines and data integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Data Lake, Databricks, and related technologies. Implement and support Microsoft Fabric solutions, including dataflows, data warehouses, and real-time analytics features. Develop and maintain ETL/ELT processes … pipelines, architecture, and best practices. EXPECTATIONS IN THE ROLE Strong hands-on experience with Microsoft Azure data services (Data Factory, Synapse Analytics, Data Lake, Databricks). Direct experience delivering solutions using Microsoft Fabric. Advanced SQL skills and experience with data modelling, transformation, and integration. Familiarity with data governance, data quality ...